Abstract
The primary frequency response ability plays a crucial role in the rapid recovery and stability of the power grid when the grid is disturbed to generate a power imbalance. In order to predict the primary frequency control ability of power system, a new model is proposed based on deep belief networks. The key feature of the proposed model lies in the fact that it considers three key factors, i.e., disturbance information, system state feature, and unit operation mode. Through this way, it predicts the primary frequency control ability of the power system accurately. The simulation results on real power system data verify the feasibility and accuracy of the proposed model.
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Cui, W. et al. (2020). Prediction of Primary Frequency Regulation Capability of Power System Based on Deep Belief Network. In: Qin, P., Wang, H., Sun, G., Lu, Z. (eds) Data Science. ICPCSEE 2020. Communications in Computer and Information Science, vol 1258. Springer, Singapore. https://doi.org/10.1007/978-981-15-7984-4_31
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DOI: https://doi.org/10.1007/978-981-15-7984-4_31
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